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Amazon RDS vs Google Cloud SQL comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon RDS
Ranking in Database as a Service (DBaaS)
2nd
Ranking in Relational Databases Tools
9th
Average Rating
8.4
Reviews Sentiment
6.7
Number of Reviews
58
Ranking in other categories
No ranking in other categories
Google Cloud SQL
Ranking in Database as a Service (DBaaS)
6th
Ranking in Relational Databases Tools
18th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
24
Ranking in other categories
Database Management Systems (DBMS) (9th)
 

Mindshare comparison

As of April 2026, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 11.8%, down from 25.1% compared to the previous year. The mindshare of Google Cloud SQL is 7.4%, down from 16.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Mindshare Distribution
ProductMindshare (%)
Amazon RDS11.8%
Google Cloud SQL7.4%
Other80.8%
Database as a Service (DBaaS)
 

Featured Reviews

BS
AWS Architect at Virtual University
Customer support and automated backups offer reliability while ease of deployment enhances user experience
The features of Amazon RDS that I have found most valuable include web and mobile applications, enterprise applications, data warehousing and analytics, and software as a service platforms, along with dev testing environments, disaster recoveries, and backups. The mobile app backend and development environment is also the best feature for database management for my customers. Database management is effective in Amazon RDS because it offers automated backups, high availability, read replicas, and support from multiple database engineers, while also providing security, monitoring and metrics, scalability. We are using snapshots and database migrations as well as performance optimization. The impact of Amazon RDS scalability and backup has been positive, with good vertical scaling, scale up and down, horizontal scaling, and storage scaling. The performance was good and availability helped with reducing downtime.
RR
SDE 2 at Virtusa
Drag and drop workflows have simplified data mapping and currently improve my cloud database work
The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The initial setup is straightforward, and technical support is good."
"The scalability is the best, and I have no issues with the ability to scale."
"It is easy to use, flexible, and powerful."
"It offers an easy-to-use interface that allows me to monitor instances and update necessary features conveniently."
"The dashboard and performance are the most valuable features of Amazon RDS."
"The initial setup is straightforward, and technical support is good."
"RDS MySQL (and Postgres) are great managed database services."
"Amazon RDS provides data encryption using services like KMS, crucial for securing high-sensitive data and meeting compliance requirements such as HIPAA or PCI DSS."
"The speed is very good, it's useful in terms of the simplicity of doing backups, you can have redundant databases for reports or posts, it's SQL which is easy to learn if you know something about databases, I like the cloud aspect, the pricing of the solution seems reasonable, and the solution is stable."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"Licensing is not applicable; pricing is reasonable."
"The initial setup is straightforward."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"Ease of management and the ability to oversee the statistics of your SQL."
"It's all built into the web browser, so any operating system will work."
 

Cons

"The product must add more older versions of the database engines."
"Some of the features will not be there. For example, some on-premises things we want to set up will not be supported there. There are some challenges that they are fixing."
"I also don't think it's very scalable."
"Some of the features will not be there. For example, some on-premises things we want to set up will not be supported there."
"Amazon cannot guarantee the stability of some extensions, and there is a need for different extensions to meet PCI requirements."
"The solution's connectivity and response logs could be improved."
"Sometimes the interface has many moving parts, which is a concern."
"I would like to see improvements in the tool's automatic restart."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"The purging of the data could be better."
"The only room for improvement here is that they need to connect to more existing data sources so that it becomes easier for a layman to get a more realistic understanding of what's happening."
"The monitoring part could be better."
"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."
"The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use."
"Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive."
"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential."
 

Pricing and Cost Advice

"In my case, MySQL is free, and if there are any costs, then it is much less than other solutions since all such things usually come bundled with the hardware."
"Amazon RDS is an expensive solution."
"The cost depends on the kind of instance we use."
"The cost of using this solution is similar to that of having your own data center."
"if you don't know how to optimize and use your tool properly, the cost might hurt you."
"The solution is expensive."
"The price of Amazon RDS is reasonable."
"It is less expensive than SQL Server. We pay based on the usage on a monthly basis."
"The pricing is very much an important factor as to why we use this solution."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"It is not expensive, especially considering the significant reduction in database management time."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"The solution is affordable."
"You need to pay extra costs for backup and replication."
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Top Industries

By visitors reading reviews
Computer Software Company
11%
Financial Services Firm
10%
University
8%
Manufacturing Company
6%
Financial Services Firm
15%
Educational Organization
13%
Computer Software Company
9%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise16
Large Enterprise22
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise10
 

Questions from the Community

What needs improvement with Amazon RDS?
Currently, I cannot think of any major improvements. Perhaps more platforms in terms of database engine versions would be beneficial. Right now, Amazon RDS supports MySQL and PostgreSQL, but there ...
What is your primary use case for Amazon RDS?
I am a Solutions Architect, so I design solutions for our clients. Prior to this role, I was an implementation engineer, so I also implement solutions for our customers.
What is your experience regarding pricing and costs for Google Cloud SQL?
We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.
What needs improvement with Google Cloud SQL?
I would to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Con...
What is your primary use case for Google Cloud SQL?
I am not working with Oracle; everything I am working on is on Google. I would like to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I ha...
 

Also Known As

RDS
No data available
 

Overview

 

Sample Customers

Edmodo
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
Find out what your peers are saying about Amazon RDS vs. Google Cloud SQL and other solutions. Updated: April 2026.
890,071 professionals have used our research since 2012.